Integration Architect

• Master’s degree in computer science, Artificial Intelligence, Machine Learning, or a related field. (Equivalent practical experience may be considered)
• Relevant Certifications on AI, ML, GenAI and Agentic AI disciplines (at minimum 2-3 certifications are recommended) such as Agentic AI certifications/badges offered by leading industry course providers and platforms (like Courseera, Udemy, Deeplearning.AI etc.)

Required Skills & Experience:

• 8-10 years Experience as an Integration Architect.
• Required 2+ years of experience designing, developing and deploying GenAI/LLM powered applications/products
• Required 1+ years of experience building and integrating Agentic AI systems, including planning, reasoning, and decision-making components.
• Required proficiency in Python and relevant AI/ML libraries (e.g., TensorFlow, PyTorch, transformers, LangChain, LangGraph, Autogen, LLamaIndex etc.).
• Required experience with Natural Language Processing (NLP) techniques, including text generation, understanding, and summarization.
• Required experience with Reinforcement Learning (RL) algorithms and their application to agent training.
• Required experience working with large datasets and cloud computing platforms (e.g., AWS, GCP, Azure, IBM, Salesforce).
• Required experience with version control systems (e.g., Git).
• Required strong communication and collaborative skills.
• Required experience working in an Agile development environment.

Required Platform Experience (One or more of the following):

• Required experience with either Agentforce (primarily) or Salesforce Einstein 
• Required experience integrating AI models with enterprise IT systems.

Preferred Skills & Experience:

• Preferred experience with prompt engineering and fine-tuning large language models.
• Preferred experience with knowledge graphs and semantic reasoning.
• Preferred experience with multi-agent systems and their coordination.
• Preferred experience with explainable AI (XAI) techniques.
• Preferred experience with MLOps and model deployment pipelines.
• Preferred experience with containerization technologies (e.g., Docker, Kubernetes).
• Preferred experience with Salesforce development tools (e.g., Force.com IDE, Apex Data Loader, AutoRABIT).
• Preferred experience with IVR Technologies (e.g., Avaya, Cisco), Chatbot development, and other conversational AI platforms.
• Preferred experience working in an onshore/offshore support model collaborating with offshore teams.
• Preferred experience working with GitHub and other collaborative development platforms